SKILLEMALL.ai

BD employee-handover

生成员工离职交接单。当用户提到"离职交接、交接清单、交接表、工作交接"或需要把任务台账/聊天记录整理成结构化交接文档并匹配资料存放位置时使用。数据源不限:钉钉、飞书、企业微信、微信、Teams、Slack 等任意办公沟通软件,支持 API/MCP/CLI 自动采集,也支持用户手动提供聊天记录(导出文件/截图/粘贴文本)。产出三段式交接表(业务来源/资料储存/进行中事项)+ 附页(未完成任务/资料位置匹配/对接人名册/检查表),可运行于任意 AI 助手。

ClawHub Agent Skills author: BZ-AI v1.0.0 MIT-0 3 files body ≈ 956 tokens Open the sourceclawhub.ai analyzed 3 d ago

生成员工离职交接单。当用户提到"离职交接、交接清单、交接表、工作交接"或需要把任务台账/聊天记录整理成结构化交接文档并匹配资料存放位置时使用。数据源不限:钉钉、飞书、企业微信、微信、Teams、Slack 等任意办公沟通软件,支持 API/MCP/CLI…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSlackInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 56 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 956 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 228: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 56 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This skill handles sensitive employee handover data, but its access and outputs are disclosed, scoped, and aligned with that purpose.
LLM: benign (high) · VirusTotal: · 4 Sept 2026